AIMC Topic: Attention
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Altmetric Analysis of the Online Attention Directed to Artificial Intelligence Literature in Ophthalmology.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 2, 2023
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers.
Frontiers in immunology
Dec 1, 2022
INTRODUCTION: Despite the many benefits immunotherapy has brought to patients with different cancers, its clinical applications and improvements are still hindered by drug resistance. Fostering a reliable approach to identifying sufferers who are sen...
Toward Region-Aware Attention Learning for Scene Graph Generation.
IEEE transactions on neural networks and learning systems
Nov 30, 2022
Scene graph generation (SGGen) is a challenging task due to a complex visual context of an image. Intuitively, the human visual system can volitionally focus on attended regions by salient stimuli associated with visual cues. For example, to infer th...
Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition.
IEEE transactions on neural networks and learning systems
Nov 30, 2022
Group activity recognition (GAR) aiming at understanding the behavior of a group of people in a video clip has received increasing attention recently. Nevertheless, most of the existing solutions ignore that not all the persons contribute to the grou...
A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing.
IEEE transactions on neural networks and learning systems
Nov 30, 2022
Modulation classification is one of the key tasks for communications systems monitoring, management, and control for addressing technical issues, including spectrum awareness, adaptive transmissions, and interference avoidance. Recently, deep learnin...
Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Nov 28, 2022
BACKGROUND: Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major chal...
Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human-Robot Interaction.
IEEE transactions on cybernetics
Nov 18, 2022
Hand detection is a crucial technology for space human-robot interaction (SHRI), and the awareness of hand identities is particularly critical. However, most advanced works have three limitations: 1) the low detection accuracy of small-size objects; ...
Continual learning with attentive recurrent neural networks for temporal data classification.
Neural networks : the official journal of the International Neural Network Society
Nov 11, 2022
Continual learning is an emerging research branch of deep learning, which aims to learn a model for a series of tasks continually without forgetting knowledge obtained from previous tasks. Despite receiving a lot of attention in the research communit...
Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning.
IEEE journal of biomedical and health informatics
Nov 10, 2022
Estimating physiological parameters - such as blood pressure (BP) - from raw sensor data captured by noninvasive, wearable devices rely on either burdensome manual feature extraction designed by domain experts to identify key waveform characteristics...
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